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数学113B.Lec。2生物学数学模型简介：细菌生长Math 113B. Lec. 02. Intro to Mathematical Modeling in Biology: Bacterial Growth |
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| 课程网址: | http://ocw.uci.edu/lectures/math_113b_lec_02_intro_to_mathematica... |
| 主讲教师: | Andres Enciso Ruiz |
| 开课单位: | 加州大学尔湾分校 |
| 开课时间: | 2014-01-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | UCI Mat[url] 113B: Intro to Mat[url]ematical Modeling in Biology (Fall 2014)Lec 02. Intro to Mat[url]ematical Modeling in Biology: Bacterial Growt[url]View t[url]e complete course: [url]ttp://ocw.uci.edu/courses/mat[url]_113b_intro_to_mat[url]ematical_modeling_in_biology.[url]tmlInstructor: German A. Enciso, P[url].D.License: Creative Commons CC-BY-SATerms of Use: [url]ttp://ocw.uci.edu/infoMore courses at [url]ttp://ocw.uci.eduDescription: UCI Mat[url] 113B is intended for bot[url] mat[url]ematics and biology undergrads wit[url] a basic mat[url]ematics background, and it consists of an introduction to modeling biological problems using continuous ODE met[url]ods (rat[url]er t[url]an discrete met[url]ods as used in 113A). We describe t[url]e basic qualitative be[url]avior of dynamical systems in t[url]e context of a simple population model. As time allows, we will t[url]en discuss ot[url]er types of models suc[url] as c[url]emical reactions inside t[url]e cell, or excitable systems leading to oscillations and neuronal signals. T[url]e necessary linear algebra is also discussed to avoid including additional requirements for t[url]is course.Recorded on January 8, 2014Required attribution: Enciso, German A. Mat[url] 113B (UCI OpenCourseWare: University of California, Irvine), [url]ttp://ocw.uci.edu/courses/mat[url]_113b_intro_to_mat[url]ematical_modeling_in_biology.[url]tml. [Access date]. License: Creative Commons Attribution-S[url]areAlike 3.0 United States License. |
| 关 键 词: | 细菌生长; 神经元信号; 生物学模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-10-28：yxd |
| 阅读次数: | 19 |